MCP for Fastah API docs

The Fastah Docs Model Context Protocol (MCP) server enables AI-powered code editors like ChatGPT, Cursor, GitHub CoPilot, AmpCode, Claude Desktop, etc. to interact directly with Fastah API documentation.

This MCP server only exposes documentation on Fastah API's request format, response fields, and how to interpret IP geolocation and other attributes. The MCP server does not support authentication at this time, so it cannot fetch your API keys for you.

What is MCP?

Model Context Protocol (MCP) is an open standard that allows AI applications to securely access external data sources and tools. The Fastah docs - IP Geolocation and IP Security MCP server provides AI agents with:

• Direct API access to Fastah docs - IP Geolocation and IP Security functionality
• Documentation search capabilities
• Real-time data from your Fastah docs - IP Geolocation and IP Security account
• Code generation assistance for Fastah docs - IP Geolocation and IP Security integrations

Setup with your AI coding agent

Fastah hosts a remote MCP server at https://docs.getfastah.com/mcp. Configure your AI development tools to connect to this server.

{
  "servers": {
    "fastah-docs": {
      "url": "https://docs.getfastah.com/mcp"
    }
  }
}

Testing the MCP setup

Once configured, you can test your MCP server connection:

1. Open your AI editor (Visual Studio Code, Cursor, etc.)
2. Start a new chat with the AI assistant
3. Ask about Fastah docs - IP Geolocation and IP Security - try questions like:
   • "How do I [common use case]?"
   • "Show me an example of [API functionality]"
   • "Create a [integration type] using Fastah docs - IP Geolocation and IP Security"

The AI should now have access to your Fastah docs - IP Geolocation and IP Security account data and documentation through the MCP server.